Python and Data science  (Paperback, Preeti kodwani)

"A Python book typically focuses on several core areas to provide a comprehensive understanding of the language. Initially, it covers *language fundamentals, introducing readers to Python's syntax, basic constructs like variables, data types, and operators, as well as control flow mechanisms such as loops and conditional statements. Following this, the book delves into **data structures*, explaining how to use and manipulate lists, tuples, sets, and dictionaries, and introduces techniques for comprehensions and iteration. The book also emphasizes *object-oriented programming* by teaching the principles of classes and objects, inheritance, and encapsulation, which are crucial for building modular and reusable code. In addition to these foundational topics, it addresses *error handling and debugging*, guiding readers through exception handling and common debugging practices to troubleshoot and refine their code. Furthermore, the book covers *file I/O* operations, including reading from and writing to various file formats, which is essential for data manipulation and persistence. It explores popular *libraries and frameworks, such as NumPy for numerical operations, pandas for data analysis, and frameworks like Django or Flask for web development. The text also introduces **testing* methodologies, teaching how to write and execute unit tests to ensure code reliability."